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Colin Bellinger
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A systematic review of data mining and machine learning for air pollution epidemiology
C Bellinger, MS Mohomed Jabbar, O Zaļane, A Osornio-Vargas
BMC public health 17 (1), 1-19, 2017
1682017
One-class versus binary classification: Which and when?
C Bellinger, S Sharma, N Japkowicz
2012 11th international conference on machine learning and applications 2 …, 2012
832012
Synthetic oversampling with the majority class: A new perspective on handling extreme imbalance
S Sharma, C Bellinger, B Krawczyk, O Zaiane, N Japkowicz
2018 IEEE international conference on data mining (ICDM), 447-456, 2018
632018
Manifold-based synthetic oversampling with manifold conformance estimation
C Bellinger, C Drummond, N Japkowicz
Machine Learning 107 (3), 605-637, 2018
492018
Smotefuna: Synthetic minority over-sampling technique based on furthest neighbour algorithm
AS Tarawneh, ABA Hassanat, K Almohammadi, D Chetverikov, ...
IEEE Access 8, 59069-59082, 2020
362020
Anomaly detection in gamma ray spectra: A machine learning perspective
S Sharma, C Bellinger, N Japkowicz, R Berg, K Ungar
2012 IEEE Symposium on Computational Intelligence for Security and Defence …, 2012
352012
Framework for extreme imbalance classification: SWIM—sampling with the majority class
C Bellinger, S Sharma, N Japkowicz, OR Zaļane
Knowledge and Information Systems 62 (3), 841-866, 2020
332020
Synthetic oversampling for advanced radioactive threat detection
C Bellinger, N Japkowicz, C Drummond
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
302015
Active learning for one-class classification
V Barnabé-Lortie, C Bellinger, N Japkowicz
2015 IEEE 14th international conference on machine learning and applications …, 2015
292015
Beyond the boundaries of SMOTE
C Bellinger, C Drummond, N Japkowicz
Joint European conference on machine learning and knowledge discovery in …, 2016
242016
Interdisciplinary-driven hypotheses on spatial associations of mixtures of industrial air pollutants with adverse birth outcomes
J Serrano-Lomelin, CC Nielsen, MSM Jabbar, O Wine, C Bellinger, ...
Environment international 131, 104972, 2019
232019
Sampling a longer life: Binary versus one-class classification revisited
C Bellinger, S Sharma, OR Zaıane, N Japkowicz
First International Workshop on Learning with Imbalanced Domains: Theory and …, 2017
182017
Clustering based one-class classification for compliance verification of the comprehensive nuclear-test-ban treaty
S Sharma, C Bellinger, N Japkowicz
Canadian Conference on Artificial Intelligence, 181-193, 2012
172012
On simulating episodic events against a background of noise-like non-episodic events
C Bellinger, BJ Oommen
Proceedings of the 2010 Summer Computer Simulation Conference, 452-460, 2010
152010
Multi-label classification of anemia patients
C Bellinger, A Amid, N Japkowicz, H Victor
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
132015
Advantage of integration in big data: Feature generation in multi-relational databases for imbalanced learning
F Ahmed, M Samorani, C Bellinger, OR Zaļane
2016 IEEE International Conference on Big Data (Big Data), 532-539, 2016
112016
One-class classification–From theory to practice: A case-study in radioactive threat detection
C Bellinger, S Sharma, N Japkowicz
Expert Systems with Applications 108, 223-232, 2018
102018
Remix: Calibrated resampling for class imbalance in deep learning
C Bellinger, R Corizzo, N Japkowicz
arXiv preprint arXiv:2012.02312, 2020
72020
Calibrated resampling for imbalanced and long-tails in deep learning
C Bellinger, R Corizzo, N Japkowicz
International Conference on Discovery Science, 242-252, 2021
62021
Undersampling with support vectors for multi-class imbalanced data classification
B Krawczyk, C Bellinger, R Corizzo, N Japkowicz
2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021
62021
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Artikelen 1–20